Staffing & Capacity Calculator
A local, in-page calculator that converts paid hours, non-task time, validated task minutes, arrivals, and backlog into a required workload FTE figure. Nothing is stored or transmitted.
Reference toolkit — not connected analytics. Nothing on this page reads your billing system. Every figure shown is arithmetic illustration and is labelled as such. There are no national benchmarks, no live organizational data, and no regulatory validation attached to this material.
Local calculator
Size the queue before the staffing conversation
Enter your own validated numbers. There are no patient fields, no uploads, and no connection to any system — the arithmetic runs in your browser and nothing is retained when you leave the page.
Workload capacity calculator
Runs entirely in your browser. No data is stored, sent, or connected to any system.
Scheduled paid shift length, up to 24.
Locally defined breaks, meetings, training, downtime, other duties.
Observed local task time — not a borrowed assumption.
New unique work entering the queue each business day.
Open actionable inventory today.
Business days you intend to take to clear it — one or more.
Enter your own numbers, or load the named example, to see the calculation. Nothing is assumed on your behalf.
How it calculates
- Productive minutes per FTE per day = max(0, (paid hours − non-task hours) × 60).
- Per-FTE daily capacity = productive minutes ÷ validated minutes per unit.
- Required workload FTE = (daily arrivals + backlog ÷ planned clearance days) ÷ per-FTE daily capacity.
- Coverage for leave, vacancy, and turnover is added on top of workload FTE. Do not also inflate task minutes for it — that deducts the same time twice.
- Everything runs locally in your browser. No organizational data, no integration, no PHI fields, and no uploads.
Illustration only
Named example (illustrative arithmetic only)
180 arrivals per day, a 300-item backlog to clear over 10 days, and capacity of 60 units per FTE per day gives 3.5 workload FTE — before any coverage for leave or vacancy.
Use "Load named example" above to see the same arithmetic in the calculator. It represents no organization's actual data.
Transparency
Sources & methodology
- Every metric definition in this toolkit is original ClaimetryX work, written to be adoptable as a local operational definition.
- No external text is reproduced. External references are cited for framework and terminology context only.
- All numbers in examples are arithmetic illustrations and are labelled SYNTHETIC or illustrative. There are no live organizational figures, no national benchmarks, and no source claims beyond the cited references.
- The productivity task times are hypothetical assumptions used to demonstrate the capacity formula. They are not measured data from any organization or survey.
- General workflow guidance on remittance linking, secondary validation, and distinguishing printing from actual billing and payer acceptance is original and vendor-neutral. No proprietary vendor manual, screenshot, or report name is reproduced.
- This is a reference toolkit, not connected analytics. It reads no organizational system and holds no regulatory validation.
- HFMA MAP Keys
Used only as a standardized KPI definition framework. Using any MAP figure as an exact benchmark requires the published inclusions and exclusions for that key. Where our definition differs, it is explicitly labelled as a ClaimetryX local operational definition.
- HFMA — Standardizing denial metrics
Used for denial terminology and measurement alignment concepts only.
- CMS Medicare Claims Processing Manual — Transmittal 2346
Cited narrowly as a 2011 historical reference for the acknowledgment framework, specifically that a 999 is a transaction-level acknowledgment and is not claim-level acceptance, which is conveyed by the 277CA. Current payer companion guides govern implementation.
- MGMA — Foundational benchmarks and KPIs for medical practice operations
Used for practice KPI and peer-comparison context only. It does not support the hypothetical task times in this toolkit, which are arithmetic assumptions.